Schedule
Here’s your roadmap for the semester!
- This will be a standard lecture format class with some in class participation.
- This will be active coding workshop where we will work through a dataset (both as a class and in groups) to incorporate what we previously learned.
- This will be an in-person help-desk where you can go and get help with a previously assigned practice worksheet with a tutor or to ask any questions about the course, the material, the exam, etc.
- You can also ask me any of this stuff too btw!
- This will be a graded Moodle quiz that will take up a part of your continuous assessment.
Class schedule
| Date | Morning Topic | Evening Topic | Slides | Coding | Tutorial | Assignment |
|---|---|---|---|---|---|---|
| Week 1 | Introduction to ST303 | Ordinary least squares | ||||
| Week 2 | Simple linear regression model | Crash course in R and Rstudio | ||||
| Week 3 | Inference for simple linear regression | ANOVA decomposition | ||||
| Week 4 | Correlation | Simple linear regression assumptions | ||||
| Week 5 | Multiple linear regression - examples | Multiple linear regression - matrix notation | ||||
| Week 5 | Moodle Quiz 1 (due Oct 23rd @5pm) | Moodle Quiz 1 (due Oct 23rd @5pm) | ||||
| Study week | Study week | |||||
| Week 6 | Mid term exam | |||||
| Week 7 | One way ANOVA | Multiple linear regression - formal model | ||||
| Week 7 | Moodle Quiz 2 (due Nov 13th @5pm) | Moodle Quiz 2 (due Nov 13th @5pm) | ||||
| Week 8 | Model comparison | Model comparison | ||||
| Week 9 | Model diagnostics | Model diagnostics | ||||
| Week 9 | Moodle Quiz 3 (due Nov 27th @5pm) | Moodle Quiz 3 (due Nov 27th @5pm) | ||||
| Week 10 | Weighted least squares | Weighted least squares | ||||
| Week 11 | Multiple linear regression - special cases | Multiple linear regression - special cases | ||||
| Week 11 | Moodle Quiz 4 (due Dec 11th @5pm) | Moodle Quiz 4 (due Dec 11th @5pm) | ||||
| January | Final Exam |